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Network intrusion detection using hybrid binary PSO and random forests algorithm

https://doi.org/10.1002/sec.508
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11011620_13openalex-snapshot
Soft Computing Models for Network Intrusion Detection Systems
inferredcites →https://doi.org/10.1007/11427469_71openalex-snapshot
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
inferredcites →https://doi.org/10.1007/11504894_62openalex-snapshot
Intelligent Bayesian Classifiers in Network Intrusion Detection
inferredcites →https://doi.org/10.1007/3-540-45720-8_30openalex-snapshot
Neuro Fuzzy Systems: State-of-the-Art Modeling Techniques
inferredcites →https://doi.org/10.1007/978-3-540-24767-8_74openalex-snapshot
Applications of Fuzzy Data Mining Methods for Intrusion Detection Systems
inferredcites →https://doi.org/10.1007/978-3-540-30217-9_102openalex-snapshot
An Artificial Immune System for Fuzzy-Rule Induction in Data Mining
inferredcites →https://doi.org/10.1007/978-3-540-30561-3_24openalex-snapshot
Network Intrusion Detection Using Wavelet Analysis
inferredcites →https://doi.org/10.1007/978-3-540-44999-7_23openalex-snapshot
Intrusion Detection Using Ensemble of Soft Computing Paradigms
inferredcites →https://doi.org/10.1007/978-3-540-45248-5_13openalex-snapshot
An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection
inferredcites →https://doi.org/10.1007/978-3-540-71441-5_72openalex-snapshot
A PSO-Based Approach to Rule Learning in Network Intrusion Detection
inferredcites →https://doi.org/10.1007/bfb0055923openalex-snapshot
Genetic Programming
inferredcites →https://doi.org/10.1016/j.asoc.2009.06.019openalex-snapshot
The use of computational intelligence in intrusion detection systems: A review
inferredcites →https://doi.org/10.1016/j.cose.2004.09.008openalex-snapshot
Feature deduction and ensemble design of intrusion detection systems
inferredcites →https://doi.org/10.1016/j.csda.2004.03.017openalex-snapshot
An extensive comparison of recent classification tools applied to microarray data
inferredcites →https://doi.org/10.1016/s0167-4048(03)00112-3openalex-snapshot
Efficient anomaly detection by modeling privilege flows using hidden Markov model
inferredcites →https://doi.org/10.1016/s0167-4048(03)00711-9openalex-snapshot
Detecting intrusion with rule-based integration of multiple models
inferredcites →https://doi.org/10.1016/s1389-1286(00)00140-7openalex-snapshot
Improving intrusion detection performance using keyword selection and neural networks
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1093/ietisy/e91-d.4.1050openalex-snapshot
Modeling Network Intrusion Detection System Using Feature Selection and Parameters Optimization
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/ares.2006.65openalex-snapshot
Proceedings. The First International Conference on Availability, Reliability and Security
inferredcites →https://doi.org/10.1109/ares.2006.7openalex-snapshot
A hybrid network intrusion detection technique using random forests
inferredcites →https://doi.org/10.1109/cec.2011.5949682openalex-snapshot
Binary PSO and random forests algorithm for PROBE attacks detection in a network
inferredcites →https://doi.org/10.1109/ichit.2006.94openalex-snapshot
Combination Artificial Ant Clustering and K-PSO Clustering Approach to Network Security Model
inferredcites →https://doi.org/10.1109/icime.2009.68openalex-snapshot
A Feature Selection Approach for Network Intrusion Detection
inferredcites →https://doi.org/10.1109/risp.1992.213257openalex-snapshot
A neural network component for an intrusion detection system
inferredcites →https://doi.org/10.1109/tsmcb.2005.843274openalex-snapshot
Hierarchical Kohonenen net for anomaly detection in network security
inferredcites →https://doi.org/10.1109/tsmcc.2008.923876openalex-snapshot
Random-Forests-Based Network Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/wnis.2009.79openalex-snapshot
Intrusion Detection Quantitative Analysis with Support Vector Regression and Particle Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1137/1.9781611972733.3openalex-snapshot
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
inferredcites →https://doi.org/10.1145/382912.382914openalex-snapshot
A framework for constructing features and models for intrusion detection systems
inferredcites →https://doi.org/10.1186/1471-2105-7-3openalex-snapshot
Gene selection and classification of microarray data using random forest
inferredcites →https://doi.org/10.1196/annals.1310.015openalex-snapshot
Application of the Random Forest Classification Algorithm to a SELDI‐TOF Proteomics Study in the Setting of a Cancer Prevention Trial
inferredcites →https://doi.org/10.21236/ada401496openalex-snapshot
Data Mining Approaches for Intrusion Detection
inferredcites →https://doi.org/10.3844/ajassp.2009.1948.1959openalex-snapshot
From Feature Selection to Building of Bayesian Classifiers: A Network Intrusion Detection Perspective
inferredcites →https://doi.org/10.4028/www.scientific.net/amr.267.308openalex-snapshot
An Effective Intrusion Detection Model Based on Random Forest and Neural Networks
inferredcites →https://doi.org/10.5281/zenodo.1331228openalex-snapshot
Network Intrusion Detection Design Using Feature Selection Of Soft Computing Paradigms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.7807openalex-snapshot
Feature selection‐integrated classifier optimisation algorithm for network intrusion detection
inferred← citeshttps://doi.org/10.1002/sec.1027openalex-snapshot
Identifying an OpenID anti‐phishing scheme for cyberspace
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Multivariate correlation analysis and geometric linear similarity for real‐time intrusion detection systems
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Comparative study on different neural networks for network security situation prediction
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A Deep Learning Model for Intrusion Detection
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A Comparative Study of Machine Learning Classifiers for Network Intrusion Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-30271-9_18openalex-snapshot
Significance of Particle Swarm Optimization in Intrusion Detection: Crossing a Decade
inferred← citeshttps://doi.org/10.1007/978-3-031-86637-1_1openalex-snapshot
Detecting Malware Traffic with Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-981-15-7527-3_77openalex-snapshot
A Survey on Hybrid Intrusion Detection Techniques
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An Automatic Correlated Recursive Wrapper-Based Feature Selector (ACRWFS) for Efficient Classification of Network Intrusion Features
inferred← citeshttps://doi.org/10.1007/978-981-19-0840-8_16openalex-snapshot
A Model on Intrusion Detection Using Firefly Algorithm and Classical Machine Learning
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A stacked ensemble learning model for intrusion detection in wireless network
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A hybrid technique using binary particle swarm optimization and decision tree pruning for network intrusion detection
inferred← citeshttps://doi.org/10.1007/s10791-026-10486-2openalex-snapshot
A survey of intrusion detection datasets for communication networks
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RETRACTED ARTICLE: Multistage Ensembled Classifier for Wireless Intrusion Detection System
inferred← citeshttps://doi.org/10.1007/s11831-023-10059-2openalex-snapshot
A Systematic Literature Review on Swarm Intelligence Based Intrusion Detection System: Past, Present and Future
inferred← citeshttps://doi.org/10.1007/s40860-021-00169-8openalex-snapshot
Network intrusion detection based on deep learning method in internet of thing
inferred← citeshttps://doi.org/10.1007/s41870-022-00910-3openalex-snapshot
N-GAN: a novel anomaly-based network intrusion detection with generative adversarial networks
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Building an efficient intrusion detection system based on feature selection and ensemble classifier
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FC-Trans: Deep learning methods for network intrusion detection in big data environments
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Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation
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M-AdaBoost-A based ensemble system for network intrusion detection
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Adaptive hierarchical energy management design for a novel hybrid powertrain of concrete truck mixers
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Performance analysis of DoS LAND attack detection
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Random Forest Modeling for Network Intrusion Detection System
inferred← citeshttps://doi.org/10.1088/1742-6596/1471/1/012019openalex-snapshot
Comparison of Data Mining Algorithm: PSO-KNN, PSO-RF, and PSO-DT to Measure Attack Detection Accuracy Levels on Intrusion Detection System
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Multilayered Echo-State Machine: A Novel Architecture for Efficient Intrusion Detection
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TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection
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A Potential Ensemble Technique with Hybrid Featured Selection for Impalpable Intrusion Detection
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Network Intrusion Detection Using Diversity-Based Centroid Mechanism
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